Output:
{
  "config": {
    "provider": "openai-codex",
    "model": "gpt-image-2-medium"
  },
  "providers": [
    {
      "name": "openai",
      "display": "OpenAI",
      "available": false,
      "default_model": "gpt-image-2-medium",
      "models": [
        {
          "id": "gpt-image-2-low",
          "display": "GPT Image 2 (Low)",
          "speed": "~15s",
          "strengths": "Fast iteration, lowest cost",
          "price": "varies"
        },
        {
          "id": "gpt-image-2-medium",
          "display": "GPT Image 2 (Medium)",
          "speed": "~40s",
          "strengths": "Balanced \u2014 default",
          "price": "varies"
        },
        {
          "id": "gpt-image-2-high",
          "display": "GPT Image 2 (High)",
          "speed": "~2min",
          "strengths": "Highest fidelity, strongest prompt adherence",
          "price": "varies"
        }
      ]
    },
    {
      "name": "openai-codex",
      "display": "OpenAI (Codex auth)",
      "available": true,
      "default_model": "gpt-image-2-medium",
      "models": [
        {
          "id": "gpt-image-2-low",
          "display": "GPT Image 2 (Low)",
          "speed": "~15s",
          "strengths": "Fast iteration, lowest cost",
          "price": "varies"
        },
        {
          "id": "gpt-image-2-medium",
          "display": "GPT Image 2 (Medium)",
          "speed": "~40s",
          "strengths": "Balanced \u2014 default",
          "price": "varies"
        },
        {
          "id": "gpt-image-2-high",
          "display": "GPT Image 2 (High)",
          "speed": "~2min",
          "strengths": "Highest fidelity, strongest prompt adherence",
          "price": "varies"
        }
      ]
    },
    {
      "name": "xai",
      "display": "xAI (Grok)",
      "available": false,
      "default_model": "grok-imagine-image",
      "models": [
        {
          "id": "grok-imagine-image",
          "display": "Grok Imagine Image",
          "speed": "~5-10s",
          "strengths": "Fast, high-quality"
        },
        {
          "id": "grok-imagine-image-quality",
          "display": "Grok Imagine Image (Quality)",
          "speed": "~10-20s",
          "strengths": "Higher fidelity / detail; slower than the standard model."
        }
      ]
    }
  ],
  "openai_codex_available": true
}
CAPABILITY_RESULT
{
  "success": true,
  "image": "/home/agent/.hermes/cache/images/openai_codex_gpt-image-2-high_20260525_192025_93a777df.png",
  "model": "gpt-image-2-high",
  "prompt": "Neutral controlled styleframe capability test for AutoShortsBot: vertical 9:16 social-video keyframe, clean modern desk with a generic blank document mockup and soft studio light, no readable text, no logos, no brands, no QR codes, no people, safe margins, realistic product-film composition.",
  "aspect_ratio": "portrait",
  "provider": "openai-codex",
  "size": "1024x1536",
  "quality": "high",
  "attempted": true,
  "elapsed_seconds": 60.93,
  "audit_copy": "/tmp/autoshorts_proof_short_sprint30/image_provider_audit/capability_test_openai_codex_gpt-image-2-high_20260525_192025_93a777df.png",
  "sha256": "bdcbc300f918c07ebe4cb5620afa633ff7f8e02184f3d4f6d43c522745465baf",
  "file_size": 2029976,
  "resolution": "1024x1536",
  "png_info_keys": [],
  "png_info": {}
}


Explanation:
**Planning tests for modules**

I need to write tests for the new policy module in `autoshorts/production/image_generation_policy.py` that includes a dataclass. I'll focus on testing the caption layout module since the current `static_captions` doesn’t have a proper layout. It’s important to add `CaptionLayoutConfig` and `layout_caption_segment` as well. I think starting with tests will help ensure everything works well, then I can move on to the rendering script, possibly rewriting it from scratch.

from autoshorts.rendering.static_captions import (
    CaptionLayoutConfig,
    WordCue,
    build_safe_caption_segments,
    layout_caption_segment,
)

def _cue_words(text: str):
    words = text.split()
    return tuple(
        WordCue(start=i * 0.3, end=(i + 1) * 0.3, word=word, sentence=text)
        for i, word in enumerate(words)
    )

def test_long_phrase_wraps_into_two_lines_within_safe_width():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, horizontal_margin_px=60)
    segment = build_safe_caption_segments(_cue_words("Before you pay check three important things"), layout=cfg)[0]

    layout = layout_caption_segment(segment.words, active_word=segment.words[0], config=cfg)

    assert 1 <= len(layout.lines) <= 2
    assert layout.width_px <= cfg.safe_width_px

def test_caption_and_active_word_highlight_never_exceed_safe_bounds():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, horizontal_margin_px=60)
    segment = build_safe_caption_segments(_cue_words("sender domain urgency language payment route"), layout=cfg)[0]

    for word in segment.words:
        layout = layout_caption_segment(segment.words, active_word=word, config=cfg)
        assert layout.left_px >= cfg.horizontal_margin_px
        assert layout.right_px <= cfg.video_width - cfg.horizontal_margin_px
        assert layout.active_word_box is not None
        assert layout.active_word_box[0] >= cfg.horizontal_margin_px
        assert layout.active_word_box[2] <= cfg.video_width - cfg.horizontal_margin_px

def test_no_word_clipped_at_left_or_right_edge():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, horizontal_margin_px=60)
    segment = build_safe_caption_segments(_cue_words("This invoice looks normal"), layout=cfg)[0]

    layout = layout_caption_segment(segment.words, active_word="invoice", config=cfg)

    assert all(box[0] >= cfg.horizontal_margin_px for box in layout.word_boxes)
    assert all(box[2] <= cfg.video_width - cfg.horizontal_margin_px for box in layout.word_boxes)

def test_max_two_lines_enforced_by_splitting_earlier():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, horizontal_margin_px=60)
    text = "Before you pay check sender domain urgency language and payment route carefully"
    segments = build_safe_caption_segments(_cue_words(text), layout=cfg)

    assert len(segments) > 1
    for segment in segments:
        layout = layout_caption_segment(segment.words, active_word=segment.words[0], config=cfg)
        assert len(layout.lines) <= 2
        assert layout.width_px <= cfg.safe_width_px

def test_mobile_bottom_safe_zone_respected():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, bottom_margin_px=260)
    segment = build_safe_caption_segments(_cue_words("Urgency is not proof"), layout=cfg)[0]

    layout = layout_caption_segment(segment.words, active_word="not", config=cfg)

    assert layout.bottom_px <= cfg.video_height - cfg.bottom_margin_px

def test_domain_strings_wrap_or_shrink_safely():
    cfg = CaptionLayoutConfig(video_width=1080, video_height=1920, horizontal_margin_px=60)
    segment = build_safe_caption_segments(_cue_words("verify example-company.com before paying"), layout=cfg)[0]

    layout = layout_caption_segment(segment.words, active_word="example-company.com", config=cfg)

    assert layout.width_px <= cfg.safe_width_px
    assert layout.right_px <= cfg.video_width - cfg.horizontal_margin_px
    assert layout.font_size_px >= cfg.min_font_size_px


LSP diagnostics introduced by this edit:
<diagnostics file="/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/tests/test_caption_safe_zone.py">
ERROR [2:5] "CaptionLayoutConfig" is unknown import symbol [reportAttributeAccessIssue] (Pyright)
ERROR [4:5] "build_safe_caption_segments" is unknown import symbol [reportAttributeAccessIssue] (Pyright)
ERROR [5:5] "layout_caption_segment" is unknown import symbol [reportAttributeAccessIssue] (Pyright)
</diagnostics>


from autoshorts.production.image_generation_policy import (
    ImageGenerationPolicy,
    image_policy_as_config,
)

def test_image_policy_pins_openai_codex_and_best_available_model():
    policy = ImageGenerationPolicy()

    assert policy.allowed_image_provider == "openai-codex"
    assert policy.preferred_image_model == "best_available_gpt_image_model"
    assert policy.preferred_quality == "highest_available_reasonable"

def test_image_policy_limits_styleframe_spend_and_random_batches():
    policy = ImageGenerationPolicy()

    assert policy.max_styleframes_per_scene_without_approval == 3
    assert policy.max_retries_per_styleframe == 1
    assert policy.no_random_batches is True

def test_image_policy_prefers_deterministic_mockups_for_invoice_ui():
    policy = ImageGenerationPolicy()

    assert policy.no_ai_images_for_mockups_when_deterministic_renderer_is_better is True
    assert policy.requires_ai_for_mockup("fake_invoice") is False
    assert policy.requires_ai_for_mockup("ui_mockup") is False

def test_image_policy_config_is_serializable():
    cfg = image_policy_as_config()

    assert cfg["allowed_image_provider"] == "openai-codex"
    assert cfg["max_styleframes_per_scene_without_approval"] == 3


LSP diagnostics introduced by this edit:
<diagnostics file="/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/tests/test_image_generation_policy.py">
ERROR [1:6] Import "autoshorts.production.image_generation_policy" could not be resolved [reportMissingImports] (Pyright)
</diagnostics>


terminal

pytest tests/test_caption_safe_zone.py tests/test_image_generation_policy.py -q


Output:
==================================== ERRORS ====================================
_______________ ERROR collecting tests/test_caption_safe_zone.py _______________
ImportError while importing test module '/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/tests/test_caption_safe_zone.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
../../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests/test_caption_safe_zone.py:1: in <module>
    from autoshorts.rendering.static_captions import (
E   ImportError: cannot import name 'CaptionLayoutConfig' from 'autoshorts.rendering.static_captions' (/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/autoshorts/rendering/static_captions.py)
____________ ERROR collecting tests/test_image_generation_policy.py ____________
ImportError while importing test module '/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/tests/test_image_generation_policy.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
../../../.local/share/uv/python/cpython-3.11.15-linux-x86_64-gnu/lib/python3.11/importlib/__init__.py:126: in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
tests/test_image_generation_policy.py:1: in <module>
    from autoshorts.production.image_generation_policy import (
E   ModuleNotFoundError: No module named 'autoshorts.production.image_generation_policy'
=========================== short test summary info ============================
ERROR tests/test_caption_safe_zone.py
ERROR tests/test_image_generation_policy.py
!!!!!!!!!!!!!!!!!!! Interrupted: 2 errors during collection !!!!!!!!!!!!!!!!!!!!
2 errors in 0.14s


Explanation:
**Implementing layout features**

I'm focusing on using the PIL ImageFont to measure text properly. I need to add optional layouts that include line splitting for active word boxes. The font I want to use is DejaVu. I'm planning to use ImageDraw's textbbox for this. My goal is to build safe segments iteratively by trying to add words while keeping the layout within a maximum limit. Ideally, I also want to ensure a minimum number of words.

"""Static active-word caption segment logic.

Caption rule for TrueTraceShorts previews/finals:
- A subtitle phrase segment stays fixed on screen.
- At least three words are visible per default segment whenever possible.
- Only the active spoken word changes highlight.
- The highlight moves left-to-right until the next phrase segment replaces it.
- Caption layout must remain inside the mobile safe zone.
"""

from __future__ import annotations

from dataclasses import dataclass
from typing import Sequence

@dataclass(frozen=True)
class WordCue:
    start: float
    end: float
    word: str
    sentence: str = ""

@dataclass(frozen=True)
class StaticCaptionSegment:
    start: float
    end: float
    word_indices: tuple[int, ...]
    words: tuple[str, ...]
    sentence: str = ""

    @property
    def text(self) -> str:
        return " ".join(self.words)

@dataclass(frozen=True)
class CaptionLayoutConfig:
    video_width: int = 1080
    video_height: int = 1920
    horizontal_margin_px: int = 60
    bottom_margin_px: int = 260
    max_width_ratio: float = 0.88
    max_lines: int = 2
    font_size_px: int = 68
    min_font_size_px: int = 46
    line_gap_px: int = 14
    word_gap_px: int = 18
    highlight_pad_x_px: int = 10
    highlight_pad_y_px: int = 5

    @property
    def safe_width_px(self) -> int:
        ratio_width = int(self.video_width * self.max_width_ratio)
        margin_width = self.video_width - 2 * self.horizontal_margin_px
        return min(ratio_width, margin_width)

@dataclass(frozen=True)
class CaptionLayout:
    lines: tuple[tuple[str, ...], ...]
    font_size_px: int
    left_px: int
    right_px: int
    top_px: int
    bottom_px: int
    width_px: int
    height_px: int
    word_boxes: tuple[tuple[int, int, int, int], ...]
    active_word_box: tuple[int, int, int, int] | None

def build_static_caption_segments(
    word_cues: Sequence[WordCue],
    *,
    min_words: int = 3,
    target_words: int = 6,
    max_words: int = 7,
) -> tuple[StaticCaptionSegment, ...]:
    if min_words < 2:
        raise ValueError("min_words must be >= 2")
    if target_words < min_words:
        raise ValueError("target_words must be >= min_words")
    if max_words < target_words:
        raise ValueError("max_words must be >= target_words")

    grouped: list[list[tuple[int, WordCue]]] = []
    current_sentence: str | None = None
    current: list[tuple[int, WordCue]] = []
    for index, cue in enumerate(word_cues):
        sentence_key = cue.sentence or "__no_sentence__"
        if current and sentence_key != current_sentence:
            grouped.append(current)
            current = []
        current_sentence = sentence_key
        current.append((index, cue))
    if current:
        grouped.append(current)

    segments: list[StaticCaptionSegment] = []
    for group in grouped:
        chunks: list[list[tuple[int, WordCue]]] = []
        i = 0
        while i < len(group):
            remaining = len(group) - i
            size = min(target_words, remaining)
            if remaining < min_words and chunks:
                chunks[-1].extend(group[i:])
                break
            if size < min_words and len(group) >= min_words:
                start = max(0, len(group) - min_words)
                chunks.append(group[start:])
                break
            chunks.append(group[i : i + size])
            i += size
        for chunk in chunks:
            if not chunk:
                continue
            if len(chunk) > max_words:
                # Split oversized merged chunks conservatively while preserving min_words.
                while len(chunk) > max_words:
                    head = chunk[:max_words]
                    segments.append(_segment_from_chunk(head))
                    chunk = chunk[max_words:]
                if 0 < len(chunk) < min_words and segments:
                    previous = segments.pop()
                    prev_pairs = [(idx, word_cues[idx]) for idx in previous.word_indices]
                    chunk = prev_pairs + chunk
            segments.append(_segment_from_chunk(chunk))
    return tuple(segments)

def build_safe_caption_segments(
    word_cues: Sequence[WordCue],
    *,
    layout: CaptionLayoutConfig | None = None,
    min_words: int = 3,
    target_words: int = 6,
    max_words: int = 7,
) -> tuple[StaticCaptionSegment, ...]:
    """Build phrase segments that are pre-split to fit the caption safe zone.

    The function keeps the established 3–7 word phrase behavior, but refuses to
    create a segment that would need more than two lines or exceed the safe
    width at the minimum allowed font size. Very long tokens are handled by
    dynamic shrink in layout, and if a phrase is still too wide the segment is
    split earlier.
    """
    cfg = layout or CaptionLayoutConfig()
    base_segments = build_static_caption_segments(
        word_cues,
        min_words=min_words,
        target_words=target_words,
        max_words=max_words,
    )
    safe_segments: list[StaticCaptionSegment] = []
    for segment in base_segments:
        pairs = [(idx, word_cues[idx]) for idx in segment.word_indices]
        current: list[tuple[int, WordCue]] = []
        for pair in pairs:
            candidate = current + [pair]
            candidate_words = tuple(cue.word for _, cue in candidate)
            if len(candidate_words) <= max_words and _fits_caption_layout(candidate_words, cfg):
                current = candidate
                continue
            if current:
                safe_segments.append(_segment_from_chunk(current))
                current = [pair]
            else:
                current = [pair]
        if current:
            # Try to merge a too-small tail back only when still safe.
            if (
                len(current) < min_words
                and safe_segments
                and len(safe_segments[-1].words) + len(current) <= max_words
            ):
                prev = safe_segments[-1]
                merged_pairs = [(idx, word_cues[idx]) for idx in prev.word_indices] + current
                merged_words = tuple(cue.word for _, cue in merged_pairs)
                if _fits_caption_layout(merged_words, cfg):
                    safe_segments[-1] = _segment_from_chunk(merged_pairs)
                else:
                    safe_segments.append(_segment_from_chunk(current))
            else:
                safe_segments.append(_segment_from_chunk(current))
    return tuple(safe_segments)

def _segment_from_chunk(chunk: Sequence[tuple[int, WordCue]]) -> StaticCaptionSegment:
    return StaticCaptionSegment(
        start=chunk[0][1].start,
        end=chunk[-1][1].end,
        word_indices=tuple(index for index, _ in chunk),
        words=tuple(cue.word for _, cue in chunk),
        sentence=chunk[0][1].sentence,
    )

def active_word_index_at(word_cues: Sequence[WordCue], timestamp: float) -> int:
    for index, cue in enumerate(word_cues):
        if cue.start <= timestamp < cue.end:
            return index
    previous = [index for index, cue in enumerate(word_cues) if cue.start <= timestamp]
    return previous[-1] if previous else 0

def segment_for_active_word(segments: Sequence[StaticCaptionSegment], active_word_index: int) -> StaticCaptionSegment:
    for segment in segments:
        if active_word_index in segment.word_indices:
            return segment
    raise ValueError(f"active word index {active_word_index} is not present in any segment")

def caption_state_at(word_cues: Sequence[WordCue], segments: Sequence[StaticCaptionSegment], timestamp: float) -> dict[str, object]:
    active_index = active_word_index_at(word_cues, timestamp)
    segment = segment_for_active_word(segments, active_index)
    return {
        "segment_text": segment.text,
        "segment_words": segment.words,
        "word_indices": segment.word_indices,
        "active_word_index": active_index,
        "active_word": word_cues[active_index].word,
    }

def layout_caption_segment(
    words: Sequence[str],
    *,
    active_word: str | None = None,
    config: CaptionLayoutConfig | None = None,
) -> CaptionLayout:
    cfg = config or CaptionLayoutConfig()
    if not words:
        raise ValueError("words must not be empty")

    for size in range(cfg.font_size_px, cfg.min_font_size_px - 1, -2):
        lines = _wrap_words(words, cfg, size)
        metrics = _measure_lines(lines, cfg, size, active_word=active_word)
        if len(lines) <= cfg.max_lines and metrics["width"] <= cfg.safe_width_px:
            return _layout_from_metrics(lines, cfg, size, metrics)

    # Last resort: return minimum-size layout; callers can split earlier.
    lines = _wrap_words(words, cfg, cfg.min_font_size_px)
    if len(lines) > cfg.max_lines:
        lines = lines[: cfg.max_lines - 1] + (tuple(word for line in lines[cfg.max_lines - 1 :] for word in line),)
    metrics = _measure_lines(lines, cfg, cfg.min_font_size_px, active_word=active_word)
    return _layout_from_metrics(lines, cfg, cfg.min_font_size_px, metrics)

def _fits_caption_layout(words: Sequence[str], cfg: CaptionLayoutConfig) -> bool:
    layout = layout_caption_segment(words, active_word=words[0] if words else None, config=cfg)
    return len(layout.lines) <= cfg.max_lines and layout.width_px <= cfg.safe_width_px

def _font(size: int):
    from PIL import ImageFont

    for path in (
        "/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf",
        "/usr/share/fonts/truetype/liberation2/LiberationSans-Bold.ttf",
    ):
        try:
            return ImageFont.truetype(path, size=size)
        except OSError:
            continue
    return ImageFont.load_default()

def _word_width(word: str, size: int) -> int:
    from PIL import Image, ImageDraw

    image = Image.new("RGB", (10, 10))
    draw = ImageDraw.Draw(image)
    bbox = draw.textbbox((0, 0), word, font=_font(size), stroke_width=2)
    return bbox[2] - bbox[0]

def _line_width(line: Sequence[str], cfg: CaptionLayoutConfig, size: int) -> int:
    if not line:
        return 0
    return sum(_word_width(word, size) for word in line) + cfg.word_gap_px * (len(line) - 1)

def _wrap_words(words: Sequence[str], cfg: CaptionLayoutConfig, size: int) -> tuple[tuple[str, ...], ...]:
    lines: list[list[str]] = [[]]
    for word in words:
        current = lines[-1]
        candidate = current + [word]
        if current and _line_width(candidate, cfg, size) > cfg.safe_width_px:
            lines.append([word])
        else:
            current.append(word)
    return tuple(tuple(line) for line in lines if line)

def _measure_lines(
    lines: Sequence[Sequence[str]],
    cfg: CaptionLayoutConfig,
    size: int,
    *,
    active_word: str | None,
) -> dict[str, object]:
    line_height = int(size * 1.15)
    widths = [_line_width(line, cfg, size) for line in lines]
    width = max(widths) if widths else 0
    height = len(lines) * line_height + max(0, len(lines) - 1) * cfg.line_gap_px
    left = max(cfg.horizontal_margin_px, (cfg.video_width - width) // 2)
    top = cfg.video_height - cfg.bottom_margin_px - height
    word_boxes: list[tuple[int, int, int, int]] = []
    active_box = None
    for line_index, line in enumerate(lines):
        line_width = _line_width(line, cfg, size)
        x = max(cfg.horizontal_margin_px, (cfg.video_width - line_width) // 2)
        y = top + line_index * (line_height + cfg.line_gap_px)
        for word in line:
            ww = _word_width(word, size)
            box = (x, y, x + ww, y + line_height)
            word_boxes.append(box)
            if active_box is None and active_word == word:
                active_box = (
                    max(cfg.horizontal_margin_px, box[0] - cfg.highlight_pad_x_px),
                    box[1] - cfg.highlight_pad_y_px,
                    min(cfg.video_width - cfg.horizontal_margin_px, box[2] + cfg.highlight_pad_x_px),
                    box[3] + cfg.highlight_pad_y_px,
                )
            x += ww + cfg.word_gap_px
    return {
        "width": width,
        "height": height,
        "left": left,
        "top": top,
        "word_boxes": tuple(word_boxes),
        "active_word_box": active_box,
    }

def _layout_from_metrics(
    lines: Sequence[Sequence[str]],
    cfg: CaptionLayoutConfig,
    size: int,
    metrics: dict[str, object],
) -> CaptionLayout:
    left = int(metrics["left"])
    top = int(metrics["top"])
    width = int(metrics["width"])
    height = int(metrics["height"])
    return CaptionLayout(
        lines=tuple(tuple(line) for line in lines),
        font_size_px=size,
        left_px=left,
        right_px=left + width,
        top_px=top,
        bottom_px=top + height,
        width_px=width,
        height_px=height,
        word_boxes=metrics["word_boxes"],  # type: ignore[arg-type]
        active_word_box=metrics["active_word_box"],  # type: ignore[arg-type]
    )


LSP diagnostics introduced by this edit:
<diagnostics file="/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot/autoshorts/rendering/static_captions.py">
ERROR [241:44] Operator "<=" not supported for types "object" and "int" [reportOperatorIssue] (Pyright)
ERROR [277:12] Type "float" is not assignable to return type "int"
  "float" is not assignable to "int" [reportReturnType] (Pyright)
ERROR [345:16] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present
  ... [reportArgumentType] (Pyright)
ERROR [345:16] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present [reportArgumentType] (Pyright)
ERROR [346:15] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present
  ... [reportArgumentType] (Pyright)
ERROR [346:15] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present [reportArgumentType] (Pyright)
ERROR [347:17] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present
  ... [reportArgumentType] (Pyright)
ERROR [347:17] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible with protocol "SupportsIndex"
      "__index__" is not present [reportArgumentType] (Pyright)
ERROR [348:18] Argument of type "object" cannot be assigned to parameter "x" of type "ConvertibleToInt" in function "__new__"
  Type "object" is not assignable to type "ConvertibleToInt"
    "object" is not assignable to "str"
    "object" is incompatible with protocol "Buffer"
      "__buffer__" is not present
    "object" is incompatible with protocol "SupportsInt"
      "__int__" is not present
    "object" is incompatible w
…[truncated]


"""Image generation policy for AutoShortsBot styleframe usage."""

from __future__ import annotations

from dataclasses import asdict, dataclass

@dataclass(frozen=True)
class ImageGenerationPolicy:
    allowed_image_provider: str = "openai-codex"
    preferred_image_model: str = "best_available_gpt_image_model"
    preferred_quality: str = "highest_available_reasonable"
    max_styleframes_per_scene_without_approval: int = 3
    max_retries_per_styleframe: int = 1
    no_random_batches: bool = True
    no_ai_images_for_mockups_when_deterministic_renderer_is_better: bool = True

    def requires_ai_for_mockup(self, asset_type: str) -> bool:
        deterministic_types = {
            "fake_invoice",
            "invoice_mockup",
            "ui_mockup",
            "email_mockup",
            "payment_card",
            "screen_mockup",
        }
        if self.no_ai_images_for_mockups_when_deterministic_renderer_is_better:
            return asset_type.strip().lower() not in deterministic_types
        return True

def image_policy_as_config() -> dict[str, object]:
    return asdict(ImageGenerationPolicy())


Output:
..........                                                               [100%]
10 passed in 0.32s


Explanation:
**Gathering configuration info**

I realize I need to look up the documentation guidelines. Also, it seems like running broader tests could help! I should probably set the configurations to a higher level as well. To do that, I might need to use something like “hermes config set.” This calls for some clarity on the process, so I'll make sure to gather all necessary documentation and settings. That way, I can get everything up and running smoothly!

# Image Generation Guidelines for AutoShortsBot

These rules apply to premium styleframes/keyframes only. Renderer-owned mockups (fake invoices, emails, payment cards, UI screens) should remain deterministic unless explicitly approved otherwise.

## Prompt Template

```text
AutoShortsBot premium keyframe, vertical 9:16 social-video frame.
Scene role: <hook / fail / mechanism / fix / takeaway>.
Visible real-world problem: <what is concretely broken in the first second>.
Subject and environment: <specific desk/screen/room/object setup>.
Composition: <camera angle, foreground/midground/background, focal point, negative space, safe margins>.
Lighting and style: <realistic product-film / premium social video / clean documentary>.
Motion-readiness: startframe suitable for subtle push-in or I2V; stable subject; no chaotic elements.
Renderer-owned overlays: leave clean safe space for captions/labels; no baked text.
Forbidden elements: no logos, brands, QR codes, real bank data, readable personal data, fake legal/banking details, watermark, pseudo text, random abstract glass clouds.
Output: text-free image, 9:16, high fidelity, realistic, immediately understandable without voiceover.
```

## Quality Checklist

- The frame shows a real viewer problem without relying on the voiceover.
- The focal point is obvious within one second.
- The scene is not interchangeable with 50 other AI/productivity videos.
- The image is text-free or uses only intentionally blank/generic surfaces.
- There is safe negative space for deterministic captions/labels.
- The scene can connect to the previous and next scene through consistent objects, color, camera logic, and problem state.
- No brand, logo, QR code, real company, real person, IBAN, routing number, account number, invoice number, address, or pseudo-legal document detail appears.
- No AI artifacts that distract on mobile: warped hands, broken UI, nonsense writing, impossible reflections, random symbols.

## Rejection Criteria

Reject the styleframe if any of these are true:

- Pretty Empty Visual Blocker: it looks premium but does not show a concrete visible fail.
- It needs the voiceover to explain what problem exists.
- It is generic laptop B-roll, abstract SaaS glassmorphism, mood-only B-roll, or a random futuristic metaphor.
- It contains baked text, pseudo-writing, fake logos, QR codes, or fake-real financial/legal details.
- It is not mobile-legible at 9:16.
- It cannot be used as a stable startframe/endframe for scene continuity.
- It violates the deterministic-mockup rule for UI/invoice/email/payment assets.

## Styleframe Budget Policy

- `allowed_image_provider = openai-codex`
- `preferred_image_model = best_available_gpt_image_model`
- `preferred_quality = highest_available_reasonable`
- Use `gpt-image-2-high` for final/high-fidelity keyframes when available.
- Use `gpt-image-2-medium` only for balanced exploration when high is not needed or unavailable.
- Maximum styleframes per scene without explicit approval: `3`.
- Maximum retries per styleframe: `1`.
- No random batches. Every generated image must have a scene role, rejection criteria, and storage path.
- Stop when one image passes the frame's job; do not keep generating just because the next one might be prettier. We are not mining JPEGs like a Victorian coal baron.

## Scene Consistency Rules

- Keep recurring objects stable: same desk, same generic document shape, same device orientation, same color family.
- Use consistent camera language: e.g. close-up → route-change insert → verification action → takeaway.
- Keep factual text, arrows, labels, UI words, numbers, warnings, and captions renderer-owned.
- Use AI images for atmosphere, realism, and premium texture only.
- For startframe/endframe planning, specify the changed state explicitly: e.g. `start: normal invoice route visible as blank field`, `end: route field visually highlighted by renderer overlay later`.

## Text/Logo/Pseudo-Writing Blocker

AI-generated images must not contain:

- readable text intended as a claim or instruction
- fake company names, fake bank details, fake invoice IDs, QR codes, barcodes
- real logos, product marks, app icons, bank names, government marks
- pseudo-writing that looks like real legal/financial information
- watermarks or provenance labels baked visibly into the image

If a scene needs text, render it deterministically after generation. For Fake-Invoice Proof Shorts, use deterministic renderer-owned mockups only; do not use AI image generation for the invoice, email, payment route, or checks.


No linter for .md files


Premium image generation only for approved styleframes/keyframes. Fake invoice/email/payment-route mockups remain renderer-owned and deterministic.


hermes config set image_gen.model gpt-image-2-high && python - <<'PY'
import yaml, json
from pathlib import Path
cfg=yaml.safe_load((Path.home()/'.hermes/config.yaml').read_text())
print(json.dumps(cfg.get('image_gen'), indent=2))
PY


Output:
✓ Set image_gen.model = gpt-image-2-high in /home/agent/.hermes/config.yaml
{
  "provider": "openai-codex",
  "model": "gpt-image-2-high"
}


todo

Image Provider Audit: config/logs/metadata prüfen

Image Generation Guidelines und Policy ergänzen

Caption Safe-Zone Tests zuerst schreiben und Fix implementieren

Preview v2 + QA Artefakte rendern und verifizieren

Artefakte per Telegram senden/verifizieren und Abschlussbericht


terminal

pytest tests/test_caption_safe_zone.py tests/test_static_caption_segments.py tests/test_image_generation_policy.py tests/test_proof_short_mode.py tests/test_pilot_production_v2.py -q


Output:
........................                                                 [100%]
24 passed in 0.39s


Explanation:
**Planning active word highlight**

I need to create an active word highlight, but without using a box—just highlighting the yellow text. The user mentioned that the highlight box cannot overflow, so I’ll stick to drawing white words and making the active ones yellow. I should use word cues from the script and estimate their duration based on the character count, using audio duration data if available. It might be better to use existing sentence timings if they’re available.


     1|1
     2|00:00:00,100 --> 00:00:02,462
     3|This invoice looks normal.
     4|
     5|2
     6|00:00:02,412 --> 00:00:05,825
     7|The trap is not the logo — it’s the payment route.
     8|
     9|3
    10|00:00:05,825 --> 00:00:07,700
    11|Same layout.
    12|
    13|4
    14|00:00:07,700 --> 00:00:10,012
    15|Same professional tone.
    16|
    17|5
    18|00:00:10,012 --> 00:00:11,962
    19|Same urgency.
    20|
    21|6
    22|00:00:11,962 --> 00:00:15,162
    23|But one thing changed: where the money goes.
    24|
    25|7
    26|00:00:15,162 --> 00:00:20,837
    27|Before you pay, check three things: sender domain, urgency language, and payment route.
    28|
    29|8
    30|00:00:20,837 --> 00:00:24,187
    31|If the route changed, don’t pay from the email.
    32|
    33|9
    34|00:00:24,187 --> 00:00:26,887
    35|Verify through a second channel.
    36|
    37|10
    38|00:00:26,887 --> 00:00:29,250
    39|Urgency is not proof.
    40|
    41|11
    42|00:00:29,250 --> 00:00:31,262
    43|It’s the red flag.
    44|
    45|


Explanation:
**Creating render script**

I need to write a render script, and I’ll start by importing the necessary modules, including PIL and ffmpeg. I’ll use regex for handling words and assign a time per word within the SRT segment. I plan to draw scenes using shapes, but I suspect there might be a bug relating to the layout of word boxes, particularly concerning the first occurrence of active_word. I’ll need to calculate x positions and mimic metrics for drawing with lines. Let's get the script written and execute it!

from __future__ import annotations

import hashlib, json, math, os, re, subprocess, sys
from pathlib import Path

sys.path.insert(0, '/home/agent/jarvis_runtime/autoshortsbot/AutoShortsBot')
from PIL import Image, ImageDraw, ImageFont, ImageFilter
from autoshorts.rendering.static_captions import (
    CaptionLayoutConfig,
    WordCue,
    active_word_index_at,
    build_safe_caption_segments,
    layout_caption_segment,
    segment_for_active_word,
)

BASE = Path('/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s')
OUT = BASE / 'preview_v2_caption_safe'
FRAMES = OUT / 'frames'
QA = OUT / 'qa_frames'
for p in [OUT, FRAMES, QA]: p.mkdir(parents=True, exist_ok=True)
AUDIO = BASE / 'audio/voiceover.mp3'
SRT = BASE / 'audio/edge_subtitles.srt'
CANDIDATE = 'digital-red-flags-fake-invoice-payment-route-30s'
W,H,FPS = 1080,1920,24
DURATION = 31.291667
SAFE = CaptionLayoutConfig(video_width=W, video_height=H, horizontal_margin_px=70, bottom_margin_px=310, max_width_ratio=0.86, font_size_px=66, min_font_size_px=48, word_gap_px=18)
FONT_BOLD='/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf'
FONT_REG='/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf'

def font(size, bold=True):
    return ImageFont.truetype(FONT_BOLD if bold else FONT_REG, size)

def parse_time(t):
    h,m,rest=t.split(':'); s,ms=rest.split(',')
    return int(h)*3600+int(m)*60+int(s)+int(ms)/1000

def parse_srt(path):
    txt=path.read_text(encoding='utf-8')
    blocks=re.split(r'\n\s*\n', txt.strip())
    out=[]
    for b in blocks:
        lines=b.splitlines()
        if len(lines)>=3:
            m=re.match(r'(\d\d:\d\d:\d\d,\d\d\d) --> (\d\d:\d\d:\d\d,\d\d\d)', lines[1])
            if m: out.append((parse_time(m.group(1)), parse_time(m.group(2)), ' '.join(lines[2:])))
    return out

def clean_words(text):
    return re.findall(r"[A-Za-z0-9]+(?:[-–—'][A-Za-z0-9]+)*(?:\.com)?|[A-Za-z0-9.-]+\.com", text.replace('’',"'"))

def build_cues():
    cues=[]
    for start,end,text in parse_srt(SRT):
        words=clean_words(text)
        weights=[max(0.55, len(w)/5) for w in words]
        total=sum(weights) or 1
        t=start
        for w,wt in zip(words,weights):
            dur=(end-start)*wt/total
            cues.append(WordCue(start=t, end=t+dur, word=w, sentence=text))
            t+=dur
    return tuple(cues)

WORD_CUES=build_cues()
SEGMENTS=build_safe_caption_segments(WORD_CUES, layout=SAFE, min_words=2, target_words=5, max_words=7)

def rounded(draw, box, r, fill, outline=None, width=1):
    draw.rounded_rectangle(box, radius=r, fill=fill, outline=outline, width=width)

def text(draw, xy, s, size, fill, bold=True, anchor=None, align='left'):
    draw.text(xy, s, font=font(size,bold), fill=fill, anchor=anchor, align=align)

def scene_for(t):
    if t < 5.8: return 'hook'
    if t < 11.9: return 'same'
    if t < 15.2: return 'route'
    if t < 20.9: return 'checks'
    if t < 26.9: return 'verify'
    return 'takeaway'

def bg(draw):
    draw.rectangle((0,0,W,H), fill=(14,18,29))
    for y in range(0,H,6):
        c=int(18+18*y/H)
        draw.line((0,y,W,y), fill=(c,c+4,c+14))
    draw.rectangle((0,0,W,H), outline=(40,51,73), width=8)

def draw_email_invoice(draw, t, mode):
    # phone/browser screen card
    rounded(draw, (82,170,998,1330), 44, (235,239,244), (78,92,122), 3)
    rounded(draw, (118,220,962,420), 26, (255,255,255), (218,224,234), 2)
    text(draw,(150,252),'Inbox',38,(39,48,70))
    text(draw,(150,314),'From: billing@example-company.com',30,(78,88,110),False)
    urgency=(236,165,37) if mode in ['same','route'] else (113,124,148)
    text(draw,(150,362),'Subject: Payment due today',32,urgency)
    # invoice doc
    rounded(draw, (150,470,930,1198), 24, (250,251,253), (199,207,222), 2)
    text(draw,(196,522),'INVOICE',52,(38,48,66))
    text(draw,(196,590),'Generic Services',31,(104,115,136),False)
    for yy in [670,735,800]:
        draw.rounded_rectangle((196,yy,730,yy+28),10, fill=(224,230,240))
    draw.rounded_rectangle((196,872,884,1012),20, fill=(240,244,249), outline=(210,218,231), width=2)
    text(draw,(224,905),'Payment route',34,(54,64,86))
    changed = mode in ['route','checks','verify']
    route_color=(207,54,54) if changed else (60,120,90)
    route_txt='NEW ROUTE' if changed else 'KNOWN ROUTE'
    rounded(draw,(224,956,538,1006),16,(255,247,238) if changed else (235,248,241),route_color,3)
    text(draw,(250,966),route_txt,29,route_color)
    if changed:
        draw.line((610,970,830,970), fill=(207,54,54), width=7)
        draw.polygon([(830,970),(800,950),(800,990)], fill=(207,54,54))
        text(draw,(224,1060),'Route changed',42,(207,54,54))
    else:
        text(draw,(224,1060),'Looks normal',42,(60,120,90))

def draw_checks(draw, t):
    labels=[('sender domain',15.3),('urgency language',16.9),('payment route',18.4)]
    y=1190
    for i,(lab,ts) in enumerate(labels):
        active=t>=ts
        col=(247,202,76) if active else (122,133,155)
        rounded(draw,(155,y+i*92,925,y+64+i*92),22,(35,43,61),(col if active else (74,86,110)),3)
        text(draw,(205,y+13+i*92),f'{i+1}. {lab}',33,(255,255,255) if active else (188,197,214))

def draw_verify(draw, t):
    rounded(draw,(150,1190,930,1385),30,(32,42,61),(88,104,137),3)
    text(draw,(190,1235),'Do not pay from the email',39,(255,255,255))
    text(draw,(190,1300),'Verify through a second channel',36,(247,202,76))
    # phone/check icon
    rounded(draw,(730,1240,862,1342),18,(18,24,36),(247,202,76),3)
    draw.line((760,1298,790,1325,836,1266), fill=(247,202,76), width=9)

def draw_takeaway(draw):
    rounded(draw,(92,420,988,1010),44,(24,32,48),(247,202,76),4)
    text(draw,(540,565),'Urgency is not proof.',64,(255,255,255),anchor='mm')
    text(draw,(540,700),"It's the red flag.",76,(247,202,76),anchor='mm')
    text(draw,(540,850),'Save this before paying from email.',36,(198,207,224),anchor='mm')

def draw_caption(draw, t):
    active=active_word_index_at(WORD_CUES,t)
    seg=segment_for_active_word(SEGMENTS,active)
    active_word=WORD_CUES[active].word
    layout=layout_caption_segment(seg.words, active_word=active_word, config=SAFE)
    f=font(layout.font_size_px, True)
    # subtle shadow/outline no box/bar
    flat_words=[]
    for line in layout.lines: flat_words.extend(line)
    boxes=list(layout.word_boxes)
    for word,box in zip(flat_words, boxes):
        x,y,_,_=box
        fill=(247,202,76) if word==active_word else (255,255,255)
        for dx,dy in [(-2,2),(2,2),(0,3)]:
            draw.text((x+dx,y+dy), word, font=f, fill=(0,0,0,160), stroke_width=2, stroke_fill=(0,0,0,130))
        draw.text((x,y), word, font=f, fill=fill, stroke_width=2, stroke_fill=(6,10,18))

def draw_frame(t):
    img=Image.new('RGB',(W,H),(14,18,29)); draw=ImageDraw.Draw(img,'RGBA')
    bg(draw)
    sc=scene_for(t)
    if sc=='takeaway':
        draw_takeaway(draw)
    else:
        draw_email_invoice(draw,t, 'route' if sc in ['route','checks','verify'] else sc)
        if sc=='same':
            rounded(draw,(160,1210,920,1320),28,(30,40,59),(90,103,132),2)
            text(draw,(540,1265),'Same layout. Same tone. Same urgency.',35,(255,255,255),anchor='mm')
        if sc in ['checks','verify']: draw_checks(draw,t)
        if sc=='verify': draw_verify(draw,t)
    # safe guides very subtle? don't include in final
    draw_caption(draw,t)
    return img

# render raw frames to ffmpeg
silent=OUT/f'{CANDIDATE}_preview_v2_caption_safe_silent.mp4'
final=OUT/f'{CANDIDATE}_preview_v2_caption_safe.mp4'
cmd=['ffmpeg','-y','-f','rawvideo','-vcodec','rawvideo','-pix_fmt','rgb24','-s',f'{W}x{H}','-r',str(FPS),'-i','-','-an','-c:v','libx264','-pix_fmt','yuv420p','-crf','20',str(silent)]
proc=subprocess.Popen(cmd, stdin=subprocess.PIPE)
frames=int(math.ceil(DURATION*FPS))
for i in range(frames):
    t=i/FPS
    proc.stdin.write(draw_frame(t).tobytes())
proc.stdin.close(); proc.wait()
if proc.returncode: raise SystemExit(proc.returncode)
subprocess.run(['ffmpeg','-y','-i',str(silent),'-i',str(AUDIO),'-c:v','copy','-c:a','aac','-shortest',str(final)], check=True)
# QA frames and contact sheet
sample_times=[1,4,10,15.8,17.8,20.2,24.5,28.2,30.2]
thumbs=[]
for ts in sample_times:
    im=draw_frame(ts)
    p=QA/f'frame_{str(ts).replace(".","_")}s.jpg'
    im.save(p, quality=92)
    thumbs.append((ts, im.resize((270,480))))
sheet=Image.new('RGB',(810,1440),(12,16,24)); sd=ImageDraw.Draw(sheet)
for idx,(ts,thumb) in enumerate(thumbs):
    x=(idx%3)*270; y=(idx//3)*480
    sheet.paste(thumb,(x,y)); sd.rectangle((x,y,x+269,y+479),outline=(80,90,115),width=2)
    sd.text((x+12,y+12),f'{ts:.1f}s',font=font(24),fill=(247,202,76))
contact=OUT/'digital-red-flags_caption_safe_contact_sheet_v2.jpg'
sheet.save(contact, quality=92)
# subtitle style preview
sp=OUT/'digital-red-flags_subtitle_style_preview_v2.jpg'
draw_frame(17.8).save(sp, quality=94)
# Validate all segment layouts
viol=[]
for seg in SEGMENTS:
    for w in seg.words:
        lo=layout_caption_segment(seg.words, active_word=w, config=SAFE)
        if lo.left_px < SAFE.horizontal_margin_px or lo.right_px > W-SAFE.horizontal_margin_px or lo.width_px > SAFE.safe_width_px or len(lo.lines)>2 or lo.bottom_px>H-SAFE.bottom_margin_px:
            viol.append({'segment':seg.text,'active':w,'layout':lo.__dict__})

def sha(p): return hashlib.sha256(Path(p).read_bytes()).hexdigest()
def probe(p):
    r=subprocess.check_output(['ffprobe','-v','error','-show_entries','format=duration:stream=width,height,r_frame_rate','-of','json',str(p)], text=True)
    return json.loads(r)
def meta(p, media_type):
    p=Path(p); d={'file_path':str(p),'file_exists':p.exists(),'file_size':p.stat().st_size,'sha256':sha(p),'media_type':media_type}
    if media_type.startswith('video'):
        pr=probe(p); vs=next((s for s in pr.get('streams',[]) if 'width' in s),{})
        d.update({'duration':round(float(pr['format']['duration']),6),'resolution':f"{vs.get('width')}x{vs.get('height')}",'fps':vs.get('r_frame_rate')})
    elif media_type.startswith('image'):
        im=Image.open(p); d.update({'duration':'n/a','resolution':f'{im.width}x{im.height}'})
    return d
manifest={
 'candidate_id':CANDIDATE,
 'version':'preview_v2_caption_safe',
 'changes':['caption safe-zone wrap/shrink/split only','same voiceover','deterministic renderer-owned mockups'],
 'wan_used':False,'i2v_used':False,'t2v_used':False,'new_ai_images':False,'platform_api':False,'posting':False,
 'caption_rules': {'max_width_ratio':SAFE.max_width_ratio,'horizontal_margin_px':SAFE.horizontal_margin_px,'bottom_margin_px':SAFE.bottom_margin_px,'max_lines':SAFE.max_lines,'font_size_px':SAFE.font_size_px,'min_font_size_px':SAFE.min_font_size_px,'preferred_words_per_segment':'4-7'},
 'caption_layout_validation': {'passed': len(viol)==0, 'violations': viol, 'segments':[{'text':s.text,'words':s.words,'start':s.start,'end':s.end} for s in SEGMENTS]},
 'artifacts': {'preview_mp4':meta(final,'video/mp4'), 'silent_mp4':meta(silent,'video/mp4'), 'qa_frame_sheet':meta(contact,'image/jpeg'), 'subtitle_style_preview':meta(sp,'image/jpeg')},
}
(OUT/'manifest_preview_v2_caption_safe.json').write_text(json.dumps(manifest,indent=2),encoding='utf-8')
print(json.dumps(manifest, indent=2)[:12000])


Output:
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, rawvideo, from 'fd:':
  Duration: N/A, start: 0.000000, bitrate: 1194393 kb/s
  Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1080x1920, 1194393 kb/s, 24 tbr, 24 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
[libx264 @ 0x60b95b1ae440] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x60b95b1ae440] profile High, level 4.0, 4:2:0, 8-bit
[libx264 @ 0x60b95b1ae440] 264 - core 164 r3108 31e19f9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=9 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=24 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 1080x1920, q=2-31, 24 fps, 12288 tbn
    Metadata:
      encoder         : Lavc60.31.102 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    6 fps=1.9 q=25.0 size=       0kB time=00:00:00.16 bitrate=   2.3kbits/s speed=0.0533x
frame=   17 fps=4.6 q=25.0 size=       0kB time=00:00:00.62 bitrate=   0.6kbits/s speed=0.17x
frame=   29 fps=6.9 q=25.0 size=       0kB time=00:00:01.08 bitrate=   0.4kbits/s speed=0.258x
frame=   40 fps=8.5 q=25.0 size=       0kB time=00:00:01.54 bitrate=   0.2kbits/s speed=0.327x
frame=   50 fps=9.6 q=25.0 size=       0kB time=00:00:01.95 bitrate=   0.2kbits/s speed=0.374x
frame=   60 fps= 10 q=25.0 size=       0kB time=00:00:02.37 bitrate=   0.2kbits/s speed=0.411x
frame=   69 fps= 11 q=25.0 size=       0kB time=00:00:02.79 bitrate=   0.1kbits/s speed=0.442x
frame=   79 fps= 12 q=25.0 size=       0kB time=00:00:03.20 bitrate=   0.1kbits/s speed=0.469x
frame=   89 fps= 12 q=25.0 size=       0kB time=00:00:03.62 bitrate=   0.1kbits/s speed=0.493x
frame=  101 fps= 13 q=25.0 size=       0kB time=00:00:04.12 bitrate=   0.1kbits/s speed=0.525x
frame=  114 fps= 14 q=25.0 size=       0kB time=00:00:04.66 bitrate=   0.1kbits/s speed=0.556x
frame=  126 fps= 14 q=25.0 size=       0kB time=00:00:05.16 bitrate=   0.1kbits/s speed=0.579x
frame=  136 fps= 14 q=25.0 size=       0kB time=00:00:05.58 bitrate=   0.1kbits/s speed=0.592x
frame=  146 fps= 15 q=25.0 size=       0kB time=00:00:06.00 bitrate=   0.1kbits/s speed=0.601x
frame=  155 fps= 15 q=25.0 size=       0kB time=00:00:06.37 bitrate=   0.1kbits/s speed=0.607x
frame=  164 fps= 15 q=25.0 size=       0kB time=00:00:06.75 bitrate=   0.1kbits/s speed=0.614x
frame=  173 fps= 15 q=25.0 size=       0kB time=00:00:07.12 bitrate=   0.1kbits/s speed=0.619x
frame=  182 fps= 15 q=25.0 size=       0kB time=00:00:07.50 bitrate=   0.1kbits/s speed=0.624x
frame=  192 fps= 15 q=25.0 size=       0kB time=00:00:07.91 bitrate=   0.0kbits/s speed=0.631x
frame=  203 fps= 16 q=25.0 size=       0kB time=00:00:08.37 bitrate=   0.0kbits/s speed=0.642x
frame=  214 fps= 16 q=25.0 size=       0kB time=00:00:08.83 bitrate=   0.0kbits/s speed=0.651x
frame=  225 fps= 16 q=25.0 size=       0kB time=00:00:09.29 bitrate=   0.0kbits/s speed=0.66x
frame=  236 fps= 16 q=25.0 size=       0kB time=00:00:09.75 bitrate=   0.0kbits/s speed=0.668x
frame=  245 fps= 16 q=25.0 size=       0kB time=00:00:10.12 bitrate=   0.0kbits/s speed=0.671x
frame=  254 fps= 16 q=25.0 size=     256kB time=00:00:10.50 bitrate= 199.8kbits/s speed=0.672x
frame=  264 fps= 16 q=25.0 size=     256kB time=00:00:10.87 bitrate= 192.9kbits/s speed=0.672x
frame=  273 fps= 16 q=25.0 size=     256kB time=00:00:11.25 bitrate= 186.4kbits/s speed=0.674x
frame=  281 fps= 16 q=25.0 size=     256kB time=00:00:11.62 bitrate= 180.4kbits/s speed=0.675x
frame=  292 fps= 16 q=25.0 size=     256kB time=00:00:12.04 bitrate= 174.2kbits/s speed=0.679x
frame=  304 fps= 17 q=25.0 size=     256kB time=00:00:12.54 bitrate= 167.2kbits/s speed=0.687x
frame=  316 fps= 17 q=25.0 size=     256kB time=00:00:13.04 bitrate= 160.8kbits/s speed=0.694x
frame=  325 fps= 17 q=25.0 size=     256kB time=00:00:13.45 bitrate= 155.9kbits/s speed=0.697x
frame=  335 fps= 17 q=25.0 size=     256kB time=00:00:13.87 bitrate= 151.2kbits/s speed=0.701x
frame=  346 fps= 17 q=25.0 size=     256kB time=00:00:14.33 bitrate= 146.3kbits/s speed=0.705x
frame=  356 fps= 17 q=25.0 size=     256kB time=00:00:14.75 bitrate= 142.2kbits/s speed=0.706x
frame=  365 fps= 17 q=25.0 size=     256kB time=00:00:15.12 bitrate= 138.7kbits/s speed=0.706x
frame=  373 fps= 17 q=25.0 size=     256kB time=00:00:15.45 bitrate= 135.7kbits/s speed=0.705x
frame=  380 fps= 17 q=25.0 size=     256kB time=00:00:15.75 bitrate= 133.2kbits/s speed= 0.7x
frame=  388 fps= 17 q=25.0 size=     256kB time=00:00:16.08 bitrate= 130.4kbits/s speed=0.698x
frame=  396 fps= 17 q=25.0 size=     256kB time=00:00:16.41 bitrate= 127.8kbits/s speed=0.696x
frame=  404 fps= 17 q=25.0 size=     256kB time=00:00:16.75 bitrate= 125.2kbits/s speed=0.694x
frame=  412 fps= 17 q=25.0 size=     256kB time=00:00:17.08 bitrate= 122.8kbits/s speed=0.692x
frame=  420 fps= 17 q=25.0 size=     256kB time=00:00:17.41 bitrate= 120.4kbits/s speed=0.692x
frame=  429 fps= 17 q=25.0 size=     256kB time=00:00:17.79 bitrate= 117.9kbits/s speed=0.693x
frame=  440 fps= 17 q=25.0 size=     256kB time=00:00:18.25 bitrate= 114.9kbits/s speed=0.696x
frame=  450 fps= 17 q=25.0 size=     256kB time=00:00:18.66 bitrate= 112.4kbits/s speed=0.698x
frame=  459 fps= 17 q=25.0 size=     256kB time=00:00:19.04 bitrate= 110.2kbits/s speed=0.699x
frame=  468 fps= 17 q=25.0 size=     256kB time=00:00:19.41 bitrate= 108.0kbits/s speed= 0.7x
frame=  477 fps= 17 q=25.0 size=     256kB time=00:00:19.79 bitrate= 106.0kbits/s speed= 0.7x
frame=  486 fps= 17 q=25.0 size=     256kB time=00:00:20.16 bitrate= 104.0kbits/s speed=0.701x
frame=  495 fps= 17 q=25.0 size=     256kB time=00:00:20.54 bitrate= 102.1kbits/s speed=0.701x
frame=  504 fps= 17 q=25.0 size=     512kB time=00:00:20.91 bitrate= 200.5kbits/s speed=0.702x
frame=  513 fps= 17 q=25.0 size=     512kB time=00:00:21.29 bitrate= 197.0kbits/s speed=0.703x
frame=  523 fps= 17 q=25.0 size=     512kB time=00:00:21.70 bitrate= 193.2kbits/s speed=0.703x
frame=  532 fps= 17 q=25.0 size=     512kB time=00:00:22.08 bitrate= 189.9kbits/s speed=0.704x
frame=  541 fps= 17 q=25.0 size=     512kB time=00:00:22.45 bitrate= 186.8kbits/s speed=0.704x
frame=  551 fps= 17 q=25.0 size=     512kB time=00:00:22.83 bitrate= 183.7kbits/s speed=0.703x
frame=  560 fps= 17 q=25.0 size=     512kB time=00:00:23.20 bitrate= 180.7kbits/s speed=0.703x
frame=  569 fps= 17 q=25.0 size=     512kB time=00:00:23.58 bitrate= 177.9kbits/s speed=0.703x
frame=  578 fps= 17 q=25.0 size=     512kB time=00:00:23.95 bitrate= 175.1kbits/s speed=0.703x
frame=  587 fps= 17 q=25.0 size=     512kB time=00:00:24.33 bitrate= 172.4kbits/s speed=0.703x
frame=  596 fps= 17 q=25.0 size=     512kB time=00:00:24.75 bitrate= 169.5kbits/s speed=0.704x
frame=  608 fps= 17 q=25.0 size=     512kB time=00:00:25.25 bitrate= 166.1kbits/s speed=0.708x
frame=  620 fps= 17 q=25.0 size=     512kB time=00:00:25.75 bitrate= 162.9kbits/s speed=0.712x
frame=  632 fps= 17 q=25.0 size=     512kB time=00:00:26.25 bitrate= 159.8kbits/s speed=0.716x
frame=  644 fps= 17 q=25.0 size=     512kB time=00:00:26.75 bitrate= 156.8kbits/s speed=0.72x
frame=  657 fps= 17 q=25.0 size=     512kB time=00:00:27.29 bitrate= 153.7kbits/s speed=0.724x
frame=  670 fps= 18 q=25.0 size=     512kB time=00:00:27.83 bitrate= 150.7kbits/s speed=0.729x
frame=  684 fps= 18 q=25.0 size=     512kB time=00:00:28.41 bitrate= 147.6kbits/s speed=0.734x
frame=  697 fps= 18 q=25.0 size=     512kB time=00:00:28.95 bitrate= 144.9kbits/s speed=0.739x
[out#0/mp4 @ 0x60b95b1acd00] video:704kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.368665%
frame=  752 fps= 19 q=-1.0 Lsize=     714kB time=00:00:31.20 bitrate= 187.4kbits/s speed=0.79x
[libx264 @ 0x60b95b1ae440] frame I:4     Avg QP:12.66  size: 49860
[libx264 @ 0x60b95b1ae440] frame P:190   Avg QP:17.17  size:  2277
[libx264 @ 0x60b95b1ae440] frame B:558   Avg QP:23.81  size:   159
[libx264 @ 0x60b95b1ae440] consecutive B-frames:  1.1%  0.0%  0.0% 98.9%
[libx264 @ 0x60b95b1ae440] mb I  I16..4: 72.2% 10.3% 17.5%
[libx264 @ 0x60b95b1ae440] mb P  I16..4:  0.8%  0.1%  0.3%  P16..4:  0.5%  0.1%  0.1%  0.0%  0.0%    skip:98.2%
[libx264 @ 0x60b95b1ae440] mb B  I16..4:  0.1%  0.0%  0.0%  B16..8:  1.2%  0.0%  0.0%  direct: 0.0%  skip:98.6%  L0:49.2% L1:50.8% BI: 0.0%
[libx264 @ 0x60b95b1ae440] 8x8 transform intra:11.1% inter:15.0%
[libx264 @ 0x60b95b1ae440] coded y,uvDC,uvAC intra: 11.3% 11.5% 8.6% inter: 0.0% 0.1% 0.1%
[libx264 @ 0x60b95b1ae440] i16 v,h,dc,p: 26% 74%  0%  0%
[libx264 @ 0x60b95b1ae440] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 30% 11% 59%  0%  0%  0%  0%  0%  0%
[libx264 @ 0x60b95b1ae440] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 46%  9%  2%  3%  3%  3%  2%  3%
[libx264 @ 0x60b95b1ae440] i8c dc,h,v,p: 76% 13% 10%  1%
[libx264 @ 0x60b95b1ae440] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x60b95b1ae440] ref P L0: 71.4%  7.6% 16.8%  4.1%
[libx264 @ 0x60b95b1ae440] ref B L0: 58.5% 40.6%  0.9%
[libx264 @ 0x60b95b1ae440] ref B L1: 96.9%  3.1%
[libx264 @ 0x60b95b1ae440] kb/s:184.00
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Duration: 00:00:31.33, start: 0.000000, bitrate: 186 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, 184 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
[mp3 @ 0x652be8a01840] Estimating duration from bitrate, this may be inaccurate
Input #1, mp3, from '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/audio/voiceover.mp3':
  Duration: 00:00:31.32, start: 0.000000, bitrate: 48 kb/s
  Stream #1:0: Audio: mp3, 24000 Hz, mono, fltp, 48 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (copy)
  Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))
Press [q] to stop, [?] for help
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, q=2-31, 184 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 24000 Hz, mono, fltp, 69 kb/s
    Metadata:
      encoder         : Lavc60.31.102 aac
size=       0kB time=N/A bitrate=N/A speed=N/A
[out#0/mp4 @ 0x652be8974fc0] video:704kB audio:242kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 2.030851%
size=     965kB time=00:00:31.31 bitrate= 252.5kbits/s speed=78.7x
[aac @ 0x652be8a78740] Qavg: 18380.342
{
  "candidate_id": "digital-red-flags-fake-invoice-payment-route-30s",
  "version": "preview_v2_caption_safe",
  "changes": [
    "caption safe-zone wrap/shrink/split only",
    "same voiceover",
    "deterministic renderer-owned mockups"
  ],
  "wan_used": false,
  "i2v_used": false,
  "t2v_used": false,
  "new_ai_images": false,
  "platform_api": false,
  "posting": false,
  "caption_rules": {
    "max_width_ratio": 0.86,
    "horizontal_margin_px": 70,
    "bottom_margin_px": 310,
    "max_lines": 2,
    "font_size_px": 66,
    "min_font_size_px": 48,
    "preferred_words_per_segment": "4-7"
  },
  "caption_layout_validation": {
    "passed": true,
    "violations": [],
    "segments": [
      {
        "text": "This invoice looks normal",
        "words": [
          "This",
          "invoice",
          "looks",
          "normal"
        ],
        "start": 0.1,
        "end": 2.4619999999999997
      },
      {
        "text": "The trap is not the",
        "words": [
          "The",
          "trap",
          "is",
          "not",
          "the"
        ],
        "start": 2.412,
        "end": 3.79921935483871
      },
      {
        "text": "logo it's the payment route",
        "words": [
          "logo",
          "it's",
          "the",
          "payment",
          "route"
        ],
        "start": 3.79921935483871,
        "end": 5.825
      },
      {
        "text": "Same layout",
        "words": [
          "Same",
          "layout"
        ],
        "start": 5.825,
        "end": 7.7
      },
      {
        "text": "Same professional tone",
        "words": [
          "Same",
          "professional",
          "tone"
        ],
        "start": 7.7,
        "end": 10.012
      },
      {
        "text": "Same urgency",
        "words": [
          "Same",
          "urgency"
        ],
        "start": 10.012,
        "end": 11.962
      },
      {
        "text": "But one thing changed where",
        "words": [
          "But",
          "one",
          "thing",
          "changed",
          "where"
        ],
        "start": 11.962,
        "end": 14.064857142857143
      },
      {
        "text": "the money goes",
        "words": [
          "the",
          "money",
          "goes"
        ],
        "start": 14.064857142857143,
        "end": 15.162
      },
      {
        "text": "Before you pay check three",
        "words": [
          "Before",
          "you",
          "pay",
          "check",
          "three"
        ],
        "start": 15.162,
        "end": 16.945571428571427
      },
      {
        "text": "things sender domain urgency language",
        "words": [
          "things",
          "sender",
          "domain",
          "urgency",
          "language"
        ],
        "start": 16.945571428571427,
        "end": 19.62092857142857
      },
      {
        "text": "and payment route",
        "words": [
          "and",
          "payment",
          "route"
        ],
        "start": 19.62092857142857,
        "end": 20.836999999999996
      },
      {
        "text": "If the route changed don't",
        "words": [
          "If",
          "the",
          "route",
          "changed",
          "don't"
        ],
        "start": 20.837,
        "end": 22.855874172185434
      },
      {
        "text": "pay from the email",
        "words": [
          "pay",
          "from",
          "the",
          "email"
        ],
        "start": 22.855874172185434,
        "end": 24.18700000000001
      },
      {
        "text": "Verify through a second channel",
        "words": [
          "Verify",
          "through",
          "a",
          "second",
          "channel"
        ],
        "start": 24.187,
        "end": 26.887
      },
      {
        "text": "Urgency is not proof",
        "words": [
          "Urgency",
          "is",
          "not",
          "proof"
        ],
        "start": 26.887,
        "end": 29.250000000000004
      },
      {
        "text": "It's the red flag",
        "words": [
          "It's",
          "the",
          "red",
          "flag"
        ],
        "start": 29.25,
        "end": 31.262
      }
    ]
  },
  "artifacts": {
    "preview_mp4": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe.mp4",
      "file_exists": true,
      "file_size": 988380,
      "sha256": "d01e0595414f405224b72118a8de7d18e24d71ee461928b16222332d3da555b4",
      "media_type": "video/mp4",
      "duration": 31.32,
      "resolution": "1080x1920",
      "fps": "24/1"
    },
    "silent_mp4": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4",
      "file_exists": true,
      "file_size": 731233,
      "sha256": "b930d5b0b1146035dd95a8aa61cf08a372f372864891707a67d94bf51a72a0e5",
      "media_type": "video/mp4",
      "duration": 31.333333,
      "resolution": "1080x1920",
      "fps": "24/1"
    },
    "qa_frame_sheet": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_caption_safe_contact_sheet_v2.jpg",
      "file_exists": true,
      "file_size": 235038,
      "sha256": "eb7f948c87691f4344423efa090bdedae74ab559f36a71e3094e1463621dbaad",
      "media_type": "image/jpeg",
      "duration": "n/a",
      "resolution": "810x1440"
    },
    "subtitle_style_preview": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_subtitle_style_preview_v2.jpg",
      "file_exists": true,
      "file_size": 353885,
      "sha256": "6ad056f7d8b9d0569313597241f8628cbe7b4b606eac5df3244347ff1e7972e6",
      "media_type": "image/jpeg",
      "duration": "n/a",
      "resolution": "1080x1920"
    }
  }
}


Question: QA this 9-frame contact sheet for mobile-safe captions: do any subtitles appear clipped or over left/right edges? Note overall readability and obvious issues.


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: QA this 9-frame contact sheet for mobile-safe captions: do any subtitles appear clipped or over left/right edges? Note overall readability and obvious issues.


patch

        if sc=='same':
            # No extra renderer text card here; the safe captions carry the phrase.
            pass


--- a//tmp/autoshorts_proof_short_sprint30/render_fake_invoice_preview_v2.py
+++ b//tmp/autoshorts_proof_short_sprint30/render_fake_invoice_preview_v2.py
@@ -163,8 +163,8 @@
     else:
         draw_email_invoice(draw,t, 'route' if sc in ['route','checks','verify'] else sc)
         if sc=='same':
-            rounded(draw,(160,1210,920,1320),28,(30,40,59),(90,103,132),2)
-            text(draw,(540,1265),'Same layout. Same tone. Same urgency.',35,(255,255,255),anchor='mm')
+            # No extra renderer text card here; the safe captions carry the phrase.
+            pass
         if sc in ['checks','verify']: draw_checks(draw,t)
         if sc=='verify': draw_verify(draw,t)
     # safe guides very subtle? don't include in final


terminal

python /tmp/autoshorts_proof_short_sprint30/render_fake_invoice_preview_v2.py >/tmp/render_v2_rerun.log && tail -80 /tmp/render_v2_rerun.log


Output:
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, rawvideo, from 'fd:':
  Duration: N/A, start: 0.000000, bitrate: 1194393 kb/s
  Stream #0:0: Video: rawvideo (RGB[24] / 0x18424752), rgb24, 1080x1920, 1194393 kb/s, 24 tbr, 24 tbn
Stream mapping:
  Stream #0:0 -> #0:0 (rawvideo (native) -> h264 (libx264))
[libx264 @ 0x63d364642480] using cpu capabilities: MMX2 SSE2Fast SSSE3 SSE4.2 AVX FMA3 BMI2 AVX2 AVX512
[libx264 @ 0x63d364642480] profile High, level 4.0, 4:2:0, 8-bit
[libx264 @ 0x63d364642480] 264 - core 164 r3108 31e19f9 - H.264/MPEG-4 AVC codec - Copyleft 2003-2023 - http://www.videolan.org/x264.html - options: cabac=1 ref=3 deblock=1:0:0 analyse=0x3:0x113 me=hex subme=7 psy=1 psy_rd=1.00:0.00 mixed_ref=1 me_range=16 chroma_me=1 trellis=1 8x8dct=1 cqm=0 deadzone=21,11 fast_pskip=1 chroma_qp_offset=-2 threads=9 lookahead_threads=1 sliced_threads=0 nr=0 decimate=1 interlaced=0 bluray_compat=0 constrained_intra=0 bframes=3 b_pyramid=2 b_adapt=1 b_bias=0 direct=1 weightb=1 open_gop=0 weightp=2 keyint=250 keyint_min=24 scenecut=40 intra_refresh=0 rc_lookahead=40 rc=crf mbtree=1 crf=20.0 qcomp=0.60 qpmin=0 qpmax=69 qpstep=4 ip_ratio=1.40 aq=1:1.00
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4':
  Metadata:
    encoder         : Lavf60.16.100
  Stream #0:0: Video: h264 (avc1 / 0x31637661), yuv420p(tv, progressive), 1080x1920, q=2-31, 24 fps, 12288 tbn
    Metadata:
      encoder         : Lavc60.31.102 libx264
    Side data:
      cpb: bitrate max/min/avg: 0/0/0 buffer size: 0 vbv_delay: N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    0 fps=0.0 q=0.0 size=       0kB time=N/A bitrate=N/A speed=N/A
frame=    1 fps=0.4 q=25.0 size=       0kB time=-00:00:00.04 bitrate=N/A speed=N/A
frame=   12 fps=3.8 q=25.0 size=       0kB time=00:00:00.41 bitrate=   0.9kbits/s speed=0.133x
frame=   23 fps=6.3 q=25.0 size=       0kB time=00:00:00.87 bitrate=   0.4kbits/s speed=0.239x
frame=   34 fps=8.1 q=25.0 size=       0kB time=00:00:01.33 bitrate=   0.3kbits/s speed=0.318x
frame=   45 fps=9.5 q=25.0 size=       0kB time=00:00:01.79 bitrate=   0.2kbits/s speed=0.379x
frame=   57 fps= 11 q=25.0 size=       0kB time=00:00:02.25 bitrate=   0.2kbits/s speed=0.426x
frame=   67 fps= 12 q=25.0 size=       0kB time=00:00:02.66 bitrate=   0.1kbits/s speed=0.46x
frame=   76 fps= 12 q=25.0 size=       0kB time=00:00:03.08 bitrate=   0.1kbits/s speed=0.488x
frame=   87 fps= 13 q=25.0 size=       0kB time=00:00:03.54 bitrate=   0.1kbits/s speed=0.516x
frame=  100 fps= 14 q=25.0 size=       0kB time=00:00:04.08 bitrate=   0.1kbits/s speed=0.554x
frame=  112 fps= 14 q=25.0 size=       0kB time=00:00:04.58 bitrate=   0.1kbits/s speed=0.582x
frame=  125 fps= 15 q=25.0 size=       0kB time=00:00:05.12 bitrate=   0.1kbits/s speed=0.61x
frame=  137 fps= 15 q=25.0 size=       0kB time=00:00:05.62 bitrate=   0.1kbits/s speed=0.629x
frame=  147 fps= 16 q=25.0 size=       0kB time=00:00:06.04 bitrate=   0.1kbits/s speed=0.638x
frame=  157 fps= 16 q=25.0 size=       0kB time=00:00:06.45 bitrate=   0.1kbits/s speed=0.646x
frame=  169 fps= 16 q=25.0 size=       0kB time=00:00:06.91 bitrate=   0.1kbits/s speed=0.657x
frame=  179 fps= 16 q=25.0 size=       0kB time=00:00:07.37 bitrate=   0.1kbits/s speed=0.668x
frame=  190 fps= 16 q=25.0 size=       0kB time=00:00:07.83 bitrate=   0.0kbits/s speed=0.679x
frame=  203 fps= 17 q=25.0 size=       0kB time=00:00:08.37 bitrate=   0.0kbits/s speed=0.693x
frame=  216 fps= 17 q=25.0 size=       0kB time=00:00:08.91 bitrate=   0.0kbits/s speed=0.707x
frame=  228 fps= 17 q=25.0 size=       0kB time=00:00:09.41 bitrate=   0.0kbits/s speed=0.718x
frame=  239 fps= 18 q=25.0 size=       0kB time=00:00:09.87 bitrate=   0.0kbits/s speed=0.724x
frame=  249 fps= 18 q=25.0 size=       0kB time=00:00:10.29 bitrate=   0.0kbits/s speed=0.725x
frame=  258 fps= 18 q=25.0 size=       0kB time=00:00:10.66 bitrate=   0.0kbits/s speed=0.725x
frame=  267 fps= 18 q=25.0 size=       0kB time=00:00:11.04 bitrate=   0.0kbits/s speed=0.726x
frame=  276 fps= 18 q=25.0 size=       0kB time=00:00:11.41 bitrate=   0.0kbits/s speed=0.727x
frame=  286 fps= 18 q=25.0 size=     256kB time=00:00:11.83 bitrate= 177.3kbits/s speed=0.728x
frame=  297 fps= 18 q=25.0 size=     256kB time=00:00:12.29 bitrate= 170.6kbits/s speed=0.733x
frame=  310 fps= 18 q=25.0 size=     256kB time=00:00:12.83 bitrate= 163.4kbits/s speed=0.742x
frame=  320 fps= 18 q=25.0 size=     256kB time=00:00:13.25 bitrate= 158.3kbits/s speed=0.743x
frame=  330 fps= 18 q=25.0 size=     256kB time=00:00:13.66 bitrate= 153.5kbits/s speed=0.745x
frame=  340 fps= 18 q=25.0 size=     256kB time=00:00:14.08 bitrate= 148.9kbits/s speed=0.747x
frame=  349 fps= 18 q=25.0 size=     256kB time=00:00:14.45 bitrate= 145.1kbits/s speed=0.745x
frame=  358 fps= 18 q=25.0 size=     256kB time=00:00:14.83 bitrate= 141.4kbits/s speed=0.745x
frame=  367 fps= 18 q=25.0 size=     256kB time=00:00:15.20 bitrate= 137.9kbits/s speed=0.743x
frame=  376 fps= 18 q=25.0 size=     256kB time=00:00:15.58 bitrate= 134.6kbits/s speed=0.742x
frame=  384 fps= 18 q=25.0 size=     256kB time=00:00:15.91 bitrate= 131.8kbits/s speed=0.739x
frame=  392 fps= 18 q=25.0 size=     256kB time=00:00:16.25 bitrate= 129.1kbits/s speed=0.736x
frame=  401 fps= 18 q=25.0 size=     256kB time=00:00:16.62 bitrate= 126.2kbits/s speed=0.734x
frame=  410 fps= 18 q=25.0 size=     256kB time=00:00:17.00 bitrate= 123.4kbits/s speed=0.733x
frame=  419 fps= 18 q=25.0 size=     256kB time=00:00:17.37 bitrate= 120.7kbits/s speed=0.732x
frame=  430 fps= 18 q=25.0 size=     256kB time=00:00:17.83 bitrate= 117.6kbits/s speed=0.735x
frame=  441 fps= 18 q=25.0 size=     256kB time=00:00:18.29 bitrate= 114.7kbits/s speed=0.738x
frame=  450 fps= 18 q=25.0 size=     256kB time=00:00:18.66 bitrate= 112.4kbits/s speed=0.738x
frame=  460 fps= 18 q=25.0 size=     256kB time=00:00:19.08 bitrate= 109.9kbits/s speed=0.739x
frame=  469 fps= 18 q=25.0 size=     256kB time=00:00:19.45 bitrate= 107.8kbits/s speed=0.738x
frame=  478 fps= 18 q=25.0 size=     256kB time=00:00:19.83 bitrate= 105.8kbits/s speed=0.737x
frame=  487 fps= 18 q=25.0 size=     256kB time=00:00:20.20 bitrate= 103.8kbits/s speed=0.737x
frame=  496 fps= 18 q=25.0 size=     256kB time=00:00:20.58 bitrate= 101.9kbits/s speed=0.737x
frame=  506 fps= 18 q=25.0 size=     512kB time=00:00:21.00 bitrate= 199.7kbits/s speed=0.738x
frame=  514 fps= 18 q=25.0 size=     512kB time=00:00:21.33 bitrate= 196.6kbits/s speed=0.736x
frame=  524 fps= 18 q=25.0 size=     512kB time=00:00:21.70 bitrate= 193.2kbits/s speed=0.737x
frame=  533 fps= 18 q=25.0 size=     512kB time=00:00:22.12 bitrate= 189.6kbits/s speed=0.737x
frame=  542 fps= 18 q=25.0 size=     512kB time=00:00:22.50 bitrate= 186.4kbits/s speed=0.737x
frame=  552 fps= 18 q=25.0 size=     512kB time=00:00:22.87 bitrate= 183.4kbits/s speed=0.737x
frame=  561 fps= 18 q=25.0 size=     512kB time=00:00:23.25 bitrate= 180.4kbits/s speed=0.737x
frame=  570 fps= 18 q=25.0 size=     512kB time=00:00:23.62 bitrate= 177.6kbits/s speed=0.736x
frame=  579 fps= 18 q=25.0 size=     512kB time=00:00:24.00 bitrate= 174.8kbits/s speed=0.736x
frame=  588 fps= 18 q=25.0 size=     512kB time=00:00:24.37 bitrate= 172.1kbits/s speed=0.736x
frame=  597 fps= 18 q=25.0 size=     512kB time=00:00:24.75 bitrate= 169.5kbits/s speed=0.736x
frame=  609 fps= 18 q=25.0 size=     512kB time=00:00:25.25 bitrate= 166.1kbits/s speed=0.74x
frame=  622 fps= 18 q=25.0 size=     512kB time=00:00:25.79 bitrate= 162.6kbits/s speed=0.744x
frame=  635 fps= 18 q=25.0 size=     512kB time=00:00:26.33 bitrate= 159.3kbits/s speed=0.748x
frame=  647 fps= 18 q=25.0 size=     512kB time=00:00:26.83 bitrate= 156.3kbits/s speed=0.751x
frame=  660 fps= 18 q=25.0 size=     512kB time=00:00:27.37 bitrate= 153.2kbits/s speed=0.755x
frame=  673 fps= 18 q=25.0 size=     512kB time=00:00:27.91 bitrate= 150.3kbits/s speed=0.759x
frame=  685 fps= 18 q=25.0 size=     512kB time=00:00:28.45 bitrate= 147.4kbits/s speed=0.762x
frame=  698 fps= 18 q=25.0 size=     512kB time=00:00:29.00 bitrate= 144.6kbits/s speed=0.766x
[out#0/mp4 @ 0x63d364640d00] video:684kB audio:0kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 1.409009%
frame=  752 fps= 20 q=-1.0 Lsize=     694kB time=00:00:31.20 bitrate= 182.2kbits/s speed=0.819x
[libx264 @ 0x63d364642480] frame I:4     Avg QP:12.71  size: 47589
[libx264 @ 0x63d364642480] frame P:190   Avg QP:17.40  size:  2217
[libx264 @ 0x63d364642480] frame B:558   Avg QP:23.88  size:   158
[libx264 @ 0x63d364642480] consecutive B-frames:  1.1%  0.0%  0.0% 98.9%
[libx264 @ 0x63d364642480] mb I  I16..4: 71.5% 11.4% 17.1%
[libx264 @ 0x63d364642480] mb P  I16..4:  0.8%  0.1%  0.3%  P16..4:  0.5%  0.1%  0.1%  0.0%  0.0%    skip:98.2%
[libx264 @ 0x63d364642480] mb B  I16..4:  0.2%  0.1%  0.0%  B16..8:  1.1%  0.0%  0.0%  direct: 0.0%  skip:98.7%  L0:47.4% L1:52.5% BI: 0.0%
[libx264 @ 0x63d364642480] 8x8 transform intra:11.4% inter:14.7%
[libx264 @ 0x63d364642480] coded y,uvDC,uvAC intra: 10.7% 10.7% 7.9% inter: 0.0% 0.1% 0.1%
[libx264 @ 0x63d364642480] i16 v,h,dc,p: 24% 76%  0%  0%
[libx264 @ 0x63d364642480] i8 v,h,dc,ddl,ddr,vr,hd,vl,hu: 36% 11% 53%  0%  0%  0%  0%  0%  0%
[libx264 @ 0x63d364642480] i4 v,h,dc,ddl,ddr,vr,hd,vl,hu: 29% 47%  9%  2%  3%  3%  3%  2%  3%
[libx264 @ 0x63d364642480] i8c dc,h,v,p: 77% 12% 10%  1%
[libx264 @ 0x63d364642480] Weighted P-Frames: Y:0.0% UV:0.0%
[libx264 @ 0x63d364642480] ref P L0: 73.3%  8.1% 14.3%  4.3%
[libx264 @ 0x63d364642480] ref B L0: 58.5% 40.5%  1.0%
[libx264 @ 0x63d364642480] ref B L1: 96.5%  3.5%
[libx264 @ 0x63d364642480] kb/s:178.73
ffmpeg version 6.1.1-3ubuntu5 Copyright (c) 2000-2023 the FFmpeg developers
  built with gcc 13 (Ubuntu 13.2.0-23ubuntu3)
  configuration: --prefix=/usr --extra-version=3ubuntu5 --toolchain=hardened --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu --arch=amd64 --enable-gpl --disable-stripping --disable-omx --enable-gnutls --enable-libaom --enable-libass --enable-libbs2b --enable-libcaca --enable-libcdio --enable-libcodec2 --enable-libdav1d --enable-libflite --enable-libfontconfig --enable-libfreetype --enable-libfribidi --enable-libglslang --enable-libgme --enable-libgsm --enable-libharfbuzz --enable-libmp3lame --enable-libmysofa --enable-libopenjpeg --enable-libopenmpt --enable-libopus --enable-librubberband --enable-libshine --enable-libsnappy --enable-libsoxr --enable-libspeex --enable-libtheora --enable-libtwolame --enable-libvidstab --enable-libvorbis --enable-libvpx --enable-libwebp --enable-libx265 --enable-libxml2 --enable-libxvid --enable-libzimg --enable-openal --enable-opencl --enable-opengl --disable-sndio --enable-libvpl --disable-libmfx --enable-libdc1394 --enable-libdrm --enable-libiec61883 --enable-chromaprint --enable-frei0r --enable-ladspa --enable-libbluray --enable-libjack --enable-libpulse --enable-librabbitmq --enable-librist --enable-libsrt --enable-libssh --enable-libsvtav1 --enable-libx264 --enable-libzmq --enable-libzvbi --enable-lv2 --enable-sdl2 --enable-libplacebo --enable-librav1e --enable-pocketsphinx --enable-librsvg --enable-libjxl --enable-shared
  libavutil      58. 29.100 / 58. 29.100
  libavcodec     60. 31.102 / 60. 31.102
  libavformat    60. 16.100 / 60. 16.100
  libavdevice    60.  3.100 / 60.  3.100
  libavfilter     9. 12.100 /  9. 12.100
  libswscale      7.  5.100 /  7.  5.100
  libswresample   4. 12.100 /  4. 12.100
  libpostproc    57.  3.100 / 57.  3.100
Input #0, mov,mp4,m4a,3gp,3g2,mj2, from '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Duration: 00:00:31.33, start: 0.000000, bitrate: 181 kb/s
  Stream #0:0[0x1](und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, 178 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
[mp3 @ 0x652a04181c40] Estimating duration from bitrate, this may be inaccurate
Input #1, mp3, from '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/audio/voiceover.mp3':
  Duration: 00:00:31.32, start: 0.000000, bitrate: 48 kb/s
  Stream #1:0: Audio: mp3, 24000 Hz, mono, fltp, 48 kb/s
Stream mapping:
  Stream #0:0 -> #0:0 (copy)
  Stream #1:0 -> #0:1 (mp3 (mp3float) -> aac (native))
Press [q] to stop, [?] for help
Output #0, mp4, to '/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe.mp4':
  Metadata:
    major_brand     : isom
    minor_version   : 512
    compatible_brands: isomiso2avc1mp41
    encoder         : Lavf60.16.100
  Stream #0:0(und): Video: h264 (High) (avc1 / 0x31637661), yuv420p(progressive), 1080x1920, q=2-31, 178 kb/s, 24 fps, 24 tbr, 12288 tbn (default)
    Metadata:
      handler_name    : VideoHandler
      vendor_id       : [0][0][0][0]
      encoder         : Lavc60.31.102 libx264
  Stream #0:1: Audio: aac (LC) (mp4a / 0x6134706D), 24000 Hz, mono, fltp, 69 kb/s
    Metadata:
      encoder         : Lavc60.31.102 aac
size=       0kB time=N/A bitrate=N/A speed=N/A
[out#0/mp4 @ 0x652a040f5280] video:684kB audio:242kB subtitle:0kB other streams:0kB global headers:0kB muxing overhead: 2.075097%
size=     945kB time=00:00:31.31 bitrate= 247.2kbits/s speed=77.1x
[aac @ 0x652a041f9180] Qavg: 18380.342
        "start": 22.855874172185434,
        "end": 24.18700000000001
      },
      {
        "text": "Verify through a second channel",
        "words": [
          "Verify",
          "through",
          "a",
          "second",
          "channel"
        ],
        "start": 24.187,
        "end": 26.887
      },
      {
        "text": "Urgency is not proof",
        "words": [
          "Urgency",
          "is",
          "not",
          "proof"
        ],
        "start": 26.887,
        "end": 29.250000000000004
      },
      {
        "text": "It's the red flag",
        "words": [
          "It's",
          "the",
          "red",
          "flag"
        ],
        "start": 29.25,
        "end": 31.262
      }
    ]
  },
  "artifacts": {
    "preview_mp4": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe.mp4",
      "file_exists": true,
      "file_size": 967725,
      "sha256": "a94893693b02356487773798f3b306394595fd64dac82588b600e1134ee318b3",
      "media_type": "video/mp4",
      "duration": 31.32,
      "resolution": "1080x1920",
      "fps": "24/1"
    },
    "silent_mp4": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe_silent.mp4",
      "file_exists": true,
      "file_size": 710578,
      "sha256": "afe1cbe04971df7fa800243c8d684ef192452cc7b11b9bcb8b6529cc03087f05",
      "media_type": "video/mp4",
      "duration": 31.333333,
      "resolution": "1080x1920",
      "fps": "24/1"
    },
    "qa_frame_sheet": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_caption_safe_contact_sheet_v2.jpg",
      "file_exists": true,
      "file_size": 232446,
      "sha256": "f84055c92e266fbc07c4bb577bbd0d6765835f46a00c4ef5da2c6de234be67eb",
      "media_type": "image/jpeg",
      "duration": "n/a",
      "resolution": "810x1440"
    },
    "subtitle_style_preview": {
      "file_path": "/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_subtitle_style_preview_v2.jpg",
      "file_exists": true,
      "file_size": 353885,
      "sha256": "6ad056f7d8b9d0569313597241f8628cbe7b4b606eac5df3244347ff1e7972e6",
      "media_type": "image/jpeg",
      "duration": "n/a",
      "resolution": "1080x1920"
    }
  }
}


Question: QA final contact sheet: any subtitles or renderer text clipped/off-safe-area? Is bottom safe zone OK?


Image loaded into your context — you can see it natively now. Use your built-in vision to answer the user.

Question: QA final contact sheet: any subtitles or renderer text clipped/off-safe-area? Is bottom safe zone OK?


Available messaging targets:

Telegram:
  telegram:M G (dm)
  telegram:JARVIS Command Center / topic 4 (group)
  telegram:JARVIS Command Center / topic 6 (group)
  telegram:JARVIS Command Center / topic 17 (group)
  telegram:JARVIS Command Center / topic 16 (group)
  telegram:JARVIS Command Center / topic 11 (group)
  telegram:JARVIS Command Center / topic 8 (group)
  telegram:JARVIS Command Center / topic 2 (group)
  telegram:JARVIS Command Center / topic 3 (group)
  telegram:JARVIS Command Center / topic 5 (group)
  telegram:JARVIS Command Center / topic 20 (group)
  telegram:JARVIS Command Center / topic 19 (group)
  telegram:JARVIS Command Center / topic 10 (group)
  telegram:JARVIS Command Center / topic 76 (group)
  telegram:JARVIS Command Center / topic 80 (group)
  telegram:JARVIS Command Center / topic 1 (group)
  telegram:JARVIS Command Center / topic 4850 (group)

Use these as the "target" parameter when sending.
Bare platform name (e.g. "telegram") sends to home channel.


telegram:JARVIS Command Center / topic 4850

Sprint 3.1 Artefakte — Preview v2 Caption Safe

Preview MP4:
MEDIA:/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags-fake-invoice-payment-route-30s_preview_v2_caption_safe.mp4

QA Frame Sheet:
MEDIA:/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_caption_safe_contact_sheet_v2.jpg

Subtitle Style Preview:
MEDIA:/tmp/autoshorts_proof_short_sprint30/digital-red-flags-fake-invoice-payment-route-30s/preview_v2_caption_safe/digital-red-flags_subtitle_style_preview_v2.jpg


from hermes_tools import terminal
cmd = r'''python - <<'PY'
from pathlib import Path
from PIL import Image
import json, hashlib, struct, os
cache=Path.home()/'.hermes/cache/images'
files=sorted(cache.glob('openai_codex_gpt-image-2-*.png'), key=lambda p:p.stat().st_mtime, reverse=True)
records=[]
for p in files[:15]:
    chunks=[]
    data=p.read_bytes()
    pos=8
    while pos+8 <= len(data):
        ln=int.from_bytes(data[pos:pos+4],'big'); typ=data[pos+4:pos+8].decode('latin1','replace')
        chunks.append(typ); pos += 12+ln
        if typ=='IEND': break
    try:
        im=Image.open(p); info_keys=list(im.info.keys()); res=f'{im.width}x{im.height}'
    except Exception as e:
        info_keys=[]; res=str(e)
    records.append({'path':str(p),'mtime':p.stat().st_mtime,'size':p.stat().st_size,'sha256':hashlib.sha256(data).hexdigest(),'resolution':res,'png_chunks':chunks,'pil_info_keys':info_keys,'has_c2pa_or_synthid_or_provenance': any('c2pa' in c.lower() or 'synth' in c.lower() or 'prov' in c.lower() for c in chunks+info_keys)})
print(json.dumps(records, indent=2)[:20000])
PY'''
print(terminal(cmd, timeout=60)['output'])